Tuesday, May 14, 2019

Quantative Methods Research Paper Example | Topics and Well Written Essays - 750 words

Quantative Methods - Research Paper Example iceberg poll to study the music piracy in the US, and a strain of N = 1650 with a residuum sample of n = 839 representing a variable group of ages 12 to 17 and 811 representing sample = 811 (Duhigg, 2006). A consume error which is the difference in population and the results indicated in the sample, E = 3% (Ron Larson, 2015). The population selected to participate on the survey was 4466 and the responsive had to respond using internet, thats an indication that the data left out a good proportion of candidates who could have adapted but did have internet access thus an highway of biasness. Only 43% of the selected sample responded indicating that the survey had a poor turn-out thus the data can be biased. The questionnaire was mainly qualitative and from the data we the sponsors can use to lobby more funds to fight copy-wrongs in the US, media can use it to create awareness and the legal fraternity can use it to gauge the level of bit ing teeth the copyright laws in curbing the menace.A random survey was conducted in the US to evaluate the presidents image in relation to how he manages the government effectively. A sample N= 1015 was interviewed on telephone with a population proportion samples of 50% both on cellphones and land line with sampling error 4% at 95% CI (Newport, 2015). The study focus on adults senior(a) 18 and above, the survey does not indicate the number of the population sample selected and only gives the sample that qualified to be tested. The data can be biased as it did not cater the adults who dont have telephone access, according to Pew Research Center (Pew Research Center, 2014), 10% of US adults of 18 years and older dont have access to telephone and 40% of homes in the US dont have access of landline (Channick, 2014). Further the respondent answering questions can be of below 18 years as there is no way to verify the age of the respondent thus biasness (Waters, 2011).The data was quali tative, media can use the data in

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